# Apply Labels Using the Bootstrap Method

1. In this example, the "bootstrap" labeling method is being used. "Bootstrap" labeling refers to the process of beginning your labeling process by just labeling a small sample size of your images, then training the tool, and reviewing the results by accepting views with correct markings to convert them into labels, and removing incorrect markings and replacing them with correct labels.

2. With the Feature Size parameter set, it is now time to place feature labels and to give each feature a unique name. To apply a label, simply click on the area of the View where you would like the label to appear. Then click in the label's text box to add a descriptive name for the label.

   Note: For more information about labels and applying labels for the ViDiCheck tool, refer to the Blue Locate Tool – Labels and Markings and Blue Locate Tool – Apply Feature Label Graphics topics.

3. Then click on each instance of the feature, ensuring that you carefully place each label in roughly the same location for each instance of the feature. To ensure the best results, be careful and thorough in this process, ensuring that you identify and label every instance of the feature. When labeling your features, ensure that you are very accurate and precise with each feature that you label. You are establishing the ground truth for the tool, and the tool's accuracy is a direct reflection of how accurately you label the features.

   Tip: When placing labels, ViDi will remember the last label. To speed up labeling, go through the Views and place labels over the same feature, and then return to the View if there are other features and repeat the process.

4. Continue to create labels for the other features. As noted above, utilize ViDi's ability to remember the last labeled feature by going through the Views and label based on the same feature type.

5. With a small sample size of labels established, the next step is a first pass training of the tool's neural network model.